Head of Data(Data Engineering + Machine Learning)
at Easyship
- Seniority
- Lead Manager
- Work model
- Onsite
- Location
- Bangalore
- Posted
- 5d ago
at Easyship
<h4 data-path-to-node="2">About Easyship:</h4> <p id="p-rc_893e0568529992e1-139" data-path-to-node="4"><span data-path-to-node="3,0">Easyship is a leading global shipping software and API platform trusted by 100,000+ eCommerce merchants to compare couriers, automate fulfilment, and simplify cross-border shipping, taxes and duties. A top-rated Shopify Certified Technology Provider, eBay preferred fulfilment partner, and Amazon preferred multi-channel integrator, Easyship is the G2 category leader (April 2026), offering 550+ courier services worldwide. We believe in accelerating borderless commerce through innovative solutions, and we're proud that brands of all sizes from small business to enterprise trust Easyship for all their shipping needs.</span></p> <h4 data-path-to-node="5">Who We’re Looking For:</h4> <p id="p-rc_893e0568529992e1-140" data-path-to-node="6"><span data-path-to-node="6,0">We are looking for a Head of Data to join our leadership team and define the future of data at Easyship, from strategy and infrastructure to AI innovation and business enablement</span><span data-path-to-node="6,2">. This role is pivotal in transforming how we use data to make decisions, innovate, and scale</span><span data-path-to-node="6,4">. You'll lead the charge in unlocking the value of data across the business, driving operational efficiency, product intelligence, and long-term strategic advantage</span><span data-path-to-node="6,6">.</span></p> <h4 data-path-to-node="7">What you additionally need to know:</h4> <p id="p-rc_893e0568529992e1-141" data-path-to-node="8"><span data-path-to-node="8,0">This is a full-time, onsite role based in our Bengaluru (MG Road) office</span><span data-path-to-node="8,2">. The role follows UK collaboration hours (11:00AM–8:00PM IST) to support seamless cross-regional execution</span><span data-path-to-node="8,4">.</span></p> <h4 data-path-to-node="9">What would be you be responsible for:</h4> <ul> <li id="p-rc_893e0568529992e1-142" data-path-to-node="10,0,0"><span data-path-to-node="10,0,0,0">Owning and defining our company-wide Data & AI strategy, ensuring it's tightly aligned with Easyship’s business goals</span><span data-path-to-node="10,0,0,2">.</span></li> <li id="p-rc_893e0568529992e1-143" data-path-to-node="10,1,0"><span data-path-to-node="10,1,0,0">Leading and scaling a high-performing data team across analytics, data engineering, and (eventually) data science</span><span data-path-to-node="10,1,0,2">.</span></li> <li id="p-rc_893e0568529992e1-144" data-path-to-node="10,2,0"><span data-path-to-node="10,2,0,0">Championing AI and machine learning initiatives, supporting the company’s evolution toward a smarter, more automated product</span><span data-path-to-node="10,2,0,2">.</span></li> <li id="p-rc_893e0568529992e1-145" data-path-to-node="10,3,0"><span data-path-to-node="10,3,0,0">Collaborating with leaders across Product, Engineering, Marketing, and Operations to ensure data is accessible, actionable, and impactful</span><span data-path-to-node="10,3,0,2">.</span></li> <li id="p-rc_893e0568529992e1-146" data-path-to-node="10,4,0"><span data-path-to-node="10,4,0,0">Guiding architectural decisions, including analytics platforms, infrastructure, and tooling — even if not hands-on day-to-day</span><span data-path-to-node="10,4,0,2">.</span></li> <li id="p-rc_893e0568529992e1-147" data-path-to-node="10,5,0"><span data-path-to-node="10,5,0,0">Ensuring data quality, governance, and compliance, fostering trust in the data we use to make critical decisions</span><span data-path-to-node="10,5,0,2">.</span></li> <li id="p-rc_893e0568529992e1-148" data-path-to-node="10,6,0"><span data-path-to-node="10,6,0,0">Prioritising based on ROI, helping the company focus on initiatives that move the needle</span><span data-path-to-node="10,6,0,2">.</span></li> <li id="p-rc_893e0568529992e1-149" data-path-to-node="10,7,0"><span data-path-to-node="10,7,0,0">Enabling self-serve analytics, giving stakeholders the tools and knowledge to answer their own questions</span><span data-path-to-node="10,7,0,2">.</span></li> <li id="p-rc_893e0568529992e1-150" data-path-to-node="10,8,0"><span data-path-to-node="10,8,0,0">Driving a culture of experimentation, insight, and continuous improvement</span><span data-path-to-node="10,8,0,2">.</span></li> </ul> <h4 data-path-to-node="11">You Might Be a Good Fit If…</h4> <ul> <li id="p-rc_893e0568529992e1-151" data-path-to-node="12,0,0"><span data-path-to-node="12,0,0,0">You have 7+ years of experience as a Head of Data or senior data leadership role</span><span data-path-to-node="12,0,0,2">.</span></li> <li id="p-rc_893e0568529992e1-152" data-path-to-node="12,1,0"><span data-path-to-node="12,1,0,0">You are a strategic thinker who understands how data drives business growth and operational excellence</span><span data-path-to-node="12,1,0,2">.</span></li> <li id="p-rc_893e0568529992e1-153" data-path-to-node="12,2,0"><span data-path-to-node="12,2,0,0">You have excellent organizational, verbal, and written communication skills, capable of aligning leadership and technical teams around a shared vision</span><span data-path-to-node="12,2,0,2">.</span></li> <li id="p-rc_893e0568529992e1-154" data-path-to-node="12,3,0"><span data-path-to-node="12,3,0,0">You have a deep understanding of AI/ML concepts and application, with a proven ability to deliver PoCs and pilots</span><span data-path-to-node="12,3,0,2">.</span></li> <li id="p-rc_893e0568529992e1-155" data-path-to-node="12,4,0"><span data-path-to-node="12,4,0,0">You have experience scaling and managing data teams, including hiring, mentorship, and team development</span><span data-path-to-node="12,4,0,2">.</span></li> <li id="p-rc_893e0568529992e1-156" data-path-to-node="12,5,0"><span data-path-to-node="12,5,0,0">You are familiar with modern data architecture and pipelines; bonus points if you've worked with GCP and tools like BigQuery, Looker, or DBT</span><span data-path-to-node="12,5,0,2">.</spa